PlayPower Labs builds software for leading EdTech companies that serve millions of learners.
We help our clients solve hard product and engineering problems so they can deliver better learner experiences through advanced technology, thoughtful design, and reliable execution.
We’ve been fully remote since before COVID and plan to stay remote. We are US-based, with a development center in Gandhinagar, India.
What We BelieveWe believe technology is a force multiplier for education.
Great software can make learning more engaging, effective, personalized, and accessible for millions of learners worldwide. The future of education will be shaped by advanced online learning, AI, and education data, and we want to help build that future.
Education data combined with AI is opening up new ways to create adaptive, personalized learning experiences. We’re here to turn those opportunities into real products that learners, educators, and EdTech companies can actually use.
We’re looking for a high-energy full-stack engineer who wants to ship real products, not just close tickets.
You’ll work with Angular/React, Java/Node.js, modern AI tools, agents, and MCPs to build fast, useful, secure software. This role is for someone who can take an idea, break it down, build it, secure it, test it, and ship it without being limited by traditional technologies.
If you like moving fast, experimenting hard, and using AI as a real engineering multiplier, you’ll fit right in.
You can find details on interview process here.
What You’ll DoBuild full-stack product features using Angular/React and Java/Node.js.
Think security-first: auth, permissions, input validation, secrets, dependencies, OWASP risks, and safe AI usage.
Own work end to end: UI, APIs, data flows, testing, releases, and fixes.
Build interfaces that feel clean, fast, and intuitive, not just technically correct.
Use AI tools, coding agents, MCPs, and automation to move faster.
Experiment with workflows for coding, debugging, refactoring, testing, documentation, and code review.
Connect AI tools to real systems through MCPs, APIs, internal tools, and automations.
Review both human-written and AI-generated code with sharp judgment.
Bring energy, ideas, and momentum to a small team building real product.
3-5 years of hands-on software engineering experience.
Good with TypeScript/JavaScript, APIs, databases, Git, and modern web apps.
Strong sense of UI/UX and care about how the product feels, not just how the code works.
Fluent with modern AI dev tools and willing to keep experimenting as the tooling evolves.
Experience or strong interest in AI agents, MCP servers, tool calling, and AI-assisted workflows.
Able to guide AI, write solid prompts, validate output, and avoid leaking sensitive data.
Solid understanding of OWASP basics, cloud security, Docker, CI/CD, and vulnerability scanning.
Product-minded, security-aware, and comfortable moving without perfect instructions.
Startup energy: ownership, speed, curiosity, and no “that’s not my job” attitude.
You’ve built or used MCP servers, agents, internal tools, automations, or AI-powered product features.
You’ve used AI to improve testing, reviews, documentation, or dev velocity.
Remote work, competitive pay, real ownership, space to experiment, and a small team that cares about building good products without corporate theater.
